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Updated: Feb 4, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
Published on: October 20, 2020
Gene Function Discovery for Kinetoplastid Pathogens
Reza Salavati1, Vahid H Gazestani2
1Institute of Parasitology, McGill University, 21111 Lakeshore Road, Ste. Anne de Bellevue, Montreal, Quebec H9X3V9, Canada; McGill Centre for Bioinformatics, McGill University, 3649 Promenade Sir William Osler, Montreal, Quebec H3G0B1, Canada; Department of Biochemistry, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montreal, Quebec H3G1Y6, Canada.
Abstract:
We propose to integrate the existing and new experimental data with computational tools to model interaction networks for the most prominent kinetoplastid pathogens. These interaction networks will vastly expand the functional annotation of the kinetoplastid genomes, which in turn are critical for identifying new routes of disease intervention.
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